The spatial distribution of income shapes the structure and organisation of cities and its understanding has broad societal implications. Despite an abundant literature, many issues remain unclear. In particular, all definitions of segregation are implicitely tied to a single indicator, usually rely on an ambiguous definition of income classes, without any consensus on how to define neighbourhoods and to deal with the polycentric organization of large cities. In this paper, we address all these questions within a unique conceptual framework. We avoid the challenge of providing a direct definition of segregation and instead start from a definition of what segregation is not. This naturally leads to the measure of representation that is able to identify locations where categories are over- or underrepresented. From there, we provide a new measure of exposure that discriminates between situations where categories co-locate or repel one another. We then use this feature to provide an unambiguous, parameter-free method to find meaningful breaks in the income distribution, thus defining classes. Applied to the 2014 American Community Survey, we find 3 emerging classes—low, middle and higher income—out of the original 16 income categories. The higher-income households are proportionally more present in larger cities, while lower-income households are not, invalidating the idea of an increased social polarisation. Finally, using the density—and not the distance to a center which is meaningless in polycentric cities—we find that the richer class is overrepresented in high density zones, especially for larger cities. This suggests that density is a relevant factor for understanding the income structure of cities and might explain some of the differences observed between US and European cities.
Institut de Physique Théorique, CEA, IPhT, CNRS-URA 2306, F-91191 Gif-sur-Yvette, France;Centre for Advanced Spatial Analysis, University College London, London, W1N 6TR, United Kingdom;Institut de Physique Théorique, CEA, IPhT, CNRS-URA 2306, F-91191 Gif-sur-Yvette, France;Centre d’Analyse et de Mathématique Sociales, EHESS, 190-198, avenue de France, 75244 Paris Cedex 13, France
Recommended Citation:
Rémi Louf,Marc Barthelemy. Patterns of Residential Segregation[J]. PLOS ONE,2016-01-01,11(6)